Cloud Analytics for Multi-Level User Browsing Path Tracking
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Solution Overview
Problem
Existing web analytics solutions are limited in providing detailed insights into user navigation paths beyond a publisher's own web property, only allowing analysis of a single external URL and requiring site modifications for implementation.
Innovation Solution
A system that allows publishers to submit a conversion URL without modifying their site, enabling the computation of entry and exit URLs and user browsing patterns up to X levels, using client code to collect and analyze user-browsed URLs for behavior-based ad options and analytics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing web analytics solutions are used to track user navigation, then user behavior within web property can be analyzed, but detailed insights into external URLs and multi-level browsing paths are not provided
Solution Approach 1:
The patent introduces a cloud-based analytics service as an intermediary between the publisher's website and external URLs. This service collects browsing data from multiple sources including the publisher's web property and external sites, processes it centrally, and provides comprehensive path analysis. The intermediary aggregates information from various URLs and levels that individual analytics solutions cannot capture alone, enabling deep external URL tracking without requiring direct integration with each external site.
Solution Approach 2:
The analytics system is designed to handle multiple functions: tracking internal navigation, capturing external URL visits, analyzing multi-level browsing paths, and providing dropout analysis all through a single platform. It serves both the publisher's web property and external URLs universally, allowing analysis across different domains and URL levels without requiring separate specialized tools for each function.
2Measurement precision
If web analytics code is added to every web page, then user path analysis within web property is enabled, but site modification is required and external URL tracking remains limited
Solution Approach 1:
The patent extracts the complex path analysis functionality from the publisher's website code and places it in a separate cloud-based service. Instead of embedding analytics logic throughout the web property, the system collects essential browsing data through lightweight code and performs sophisticated path analysis externally. This separation allows precise multi-level path tracking without burdening the publisher's site with complex implementation requirements.
Solution Approach 2:
A cloud-based analytics service acts as an intermediary that receives browsing data from the publisher's website and external sources, then performs comprehensive path analysis. This mediator handles the complex computation of multi-level browsing paths and dropout analysis, returning results to the publisher without requiring them to implement complex tracking code on their site. The intermediary consolidates the analytical functionality that would otherwise need to be distributed across multiple web pages.
3Ease of operation
If only single external URL analysis is provided, then implementation is simple, but comprehensive dropout analysis and external behavior understanding are limited
Solution Approach 1:
The patent extends analytics from a single-dimension view (one external URL) to multi-dimensional analysis by tracking browsing paths across multiple URL levels (X levels deep). Instead of analyzing isolated external URLs, the system captures the hierarchical structure of browsing paths, showing how users navigate through multiple external pages before reaching the publisher's site. This dimensional expansion enables comprehensive dropout analysis by examining user behavior across the entire external browsing journey rather than at a single point.
Data Source
AI summary
There is provided a system and process for showing and delivering to a web site publisher, without requiring the publisher to make any changes in the web site, a list of URLs browsed by users before and after the users land on a given URL. The URLs on the list include the last and next N URLs browsed by users before and after browsing the publisher defined URL. The system and process provides for identifying unique users and total visits statistics for a given URL or composite statistics for multiple URL paths.